Heatwaves and grapevine yield in the Douro region, crop model simulations

Yield estimation is very important for the wine industry since provides useful information for vineyard and winery management. The early yield estimation of the grapevine provides information to winegrowers in making management decisions to achieve a better quantity and quality of grapes. In general, yield forecasts are based on destructive sampling of bunches and manual counting of berries per bunch and bunches per vine.

As observed in other grape varieties, Red Grenache juice contains low level of volatiles. The main flavor compounds are ” Iock up “as flavorless glycoconjugates which could generate at the wine pH volatile flavorants and constitute the varietal aroma of this cultivar.

Le monde vitivinicole est de plus en plus concerné par la question paysagère : l’enjeu est de taille puisqu’il s’agit de la survie de l’image positive dont bénéficient les Appellations d’Origine Contrôlée. Les paysages sont composés d’éléments qui renvoient à des références socioculturelles fortes, susceptibles de modeler l’image d’un produit et d’en déterminer à notoriété et le prix. Dans un monde médiatisé comme le nôtre, le visuel construit l’arrière-plan des représentations mentales associées à toute marchandise ; et pour les aliments, produits de la terre, ce visuel est forcément paysager.

When sparkling wine is served, the first attribute perceived is foam1. Bentonite is usually added to wine in order to cause particle flocculation

Grape harvest time is one of the most fundamental aspects that affect grape quality and thus wine quality. Many factors influence the decision of harvest; among them technological and phenolic maturity of grape. Technological ripeness is mainly related to sugar concentration, titratable acidity and pH. Conventional methods for chemical analysis of grapes are normally sample-destructive, time-consuming, include laborious sample preparation steps, and generate chemical waste, thereby limiting their utility in online/in-line quality monitoring. Moreover, destructive analyses can be performed only on a limited number of fruit pieces and, thus, their statistical relevance could be limited. This study evaluated the ability of a lab-scale hyperspectral imaging (HYP-IM) technique to predict titratable acidity, organic acid and sugar content of grapes. Samples of Cabernet franc and Chenin blanc grapes were consecutively collected six times at weekly intervals after veraison. The images were recorded thanks to the hyperspectral imaging camera Pica L (Resonon) in a spectral range from 400 to 1000 nm. Statistics were performed using Microsoft Xlstat software. Successively, the berries were analyzed for their sugar (glucose and fructose) and organic acid (malic and tartaric acid) content and titratable acidity according to usual methods.